Evaluation of Control and Management System Performance for the Complex Objects Under Uncertainty

被引：0

作者：

Kosenko, Olesiya ^{[1
]}

Belyakov, Stanislav ^{[1
]}

Bozhenyuk, Alexander ^{[1
]}

Knyazeva, Margarita ^{[1
]}

机构：

[1] Southern Fed Univ, Nekrasovsky Str 44, Taganrog 347922, Russia

来源：

INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 1 | 2022年 / 504卷

关键词：

Complex system; Resource allocation; Optimization; Uncertainty; Fuzzy temporal graph; Conjunctival strength; Internal stability of the path;

D O I：

10.1007/978-3-031-09173-5_110

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article considers the problem of optimizing the control and management system performance for a complex object. An industrial network with various resource flows is considered as a complex system. The production process model is represented by a fuzzy temporal graph. The fuzzy temporal graph makes it possible to consider the change in parameters over time, which affects the efficiency of the system under uncertainty. The possibility of applying the theory of fuzzy sets to describe the production process in the form of variations of route maps is analyzed. To evaluate the efficiency of the system, the production problem was formalized in a fuzzy form. The calculation of the duration of the route charts of the technological process was carried out, the maximum conjunctive strength and the degree of internal stability were estimated.

引用

页码：965 / 973

页数：9

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